Collection of materials for the thesis on generalization in deep neural networks. The tables folder contains CSV files with final tables (granular measures) and Kendall τ correlations by architecture settings. The code folder provides Jupyter notebooks for reading and saving CIFAR-10, used to train and save the models and evaluate the studied complexity measures.